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Publication search results
found 269 matches
- 2024
- Zeynab Aghabazaz, Iraj Kazemi, Alireza Nematollahi:
Dynamic mixed models with heterogeneous covariance components using multivariate GARCH innovations and the Dirichlet process mixture. J. Comput. Appl. Math. 438: 115579 (2024) - Pedro Cardoso, John M. Dennis, Jack Bowden, Beverley M. Shields, Trevelyan J. McKinley:
Dirichlet process mixture models to impute missing predictor data in counterfactual prediction models: an application to predict optimal type 2 diabetes therapy. BMC Medical Informatics Decis. Mak. 24(1): 12 (2024) - Ze-Chen Li, Heng-Chao Li, Gui Gao, Wen Hong, William J. Emery:
Unsupervised Classification for Multilook Polarimetric SAR Images via Double Dirichlet Process Mixture Model. IEEE Trans. Geosci. Remote. Sens. 62: 1-16 (2024) - Dongwook Kim, Juyeon Park, Hee Cheol Chung, Seonghyun Jeong:
Unsupervised Outlier Detection using Random Subspace and Subsampling Ensembles of Dirichlet Process Mixtures. CoRR abs/2401.00773 (2024) - 2023
- Kuhwan Jeong, Minwoo Chae, Yongdai Kim:
Online learning for the Dirichlet process mixture model via weakly conjugate approximation. Comput. Stat. Data Anal. 179: 107626 (2023) - Zhenyu Guo, Jie Yuan, Shengshan Ma, Zhonghua Li, Qiong Wu:
Self-coloring-Driven Plume Source Localization Strategy for Multiple Robots Using Dirichlet Process Gaussian Mixture Model and Mutation Random Salp Swarm Algorithm. Neural Process. Lett. 55(8): 10331-10351 (2023) - Tao Li, Jinwen Ma:
Dirichlet process mixture of Gaussian process functional regressions and its variational EM algorithm. Pattern Recognit. 134: 109129 (2023) - Zhi Wang, Chunlin Chen, Daoyi Dong:
A Dirichlet Process Mixture of Robust Task Models for Scalable Lifelong Reinforcement Learning. IEEE Trans. Cybern. 53(12): 7509-7520 (2023) - Songlin Wei, Guodong Chen, Wenzheng Chi, Zhenhua Wang, Lining Sun:
Object Clustering With Dirichlet Process Mixture Model for Data Association in Monocular SLAM. IEEE Trans. Ind. Electron. 70(1): 594-603 (2023) - Ziyue Li, Hao Yan, Chen Zhang, Wolfgang Ketter, Fugee Tsung:
Tensor Dirichlet Process Multinomial Mixture Model with Graphs for Passenger Trajectory Clustering. GeoAI@SIGSPATIAL 2023: 121-128 - Ziyue Li, Hao Yan, Chen Zhang, Andi Wang, Wolfgang Ketter, Lijun Sun, Fugee Tsung:
Tensor Dirichlet Process Multinomial Mixture Model for Passenger Trajectory Clustering. CoRR abs/2306.13794 (2023) - Ziyue Li, Hao Yan, Chen Zhang, Lijun Sun, Wolfgang Ketter, Fugee Tsung:
Choose A Table: Tensor Dirichlet Process Multinomial Mixture Model with Graphs for Passenger Trajectory Clustering. CoRR abs/2310.20224 (2023) - Reda Khoufache, Mustapha Lebbah, Hanene Azzag, Étienne Goffinet, Djamel Bouchaffra:
Distributed Collapsed Gibbs Sampler for Dirichlet Process Mixture Models in Federated Learning. CoRR abs/2312.11169 (2023) - 2022
- Erhan Karakoca, Günes Karabulut Kurt, Ali Görçin:
Hierarchical Dirichlet Process Based Gamma Mixture Modeling for Terahertz Band Wireless Communication Channels. IEEE Access 10: 84635-84647 (2022) - Ali Baghdadi, Narges Manouchehri, Zachary Patterson, Wentao Fan, Nizar Bouguila:
Hierarchical Dirichlet and Pitman-Yor process mixtures of shifted-scaled Dirichlet distributions for proportional data modeling. Comput. Intell. 38(6): 2095-2115 (2022) - Nurul Afiqah Burhanuddin, Mohd Bakri Adam, Kamarulzaman Ibrahim:
Clustering with label constrained Dirichlet process mixture model. Eng. Appl. Artif. Intell. 107: 104543 (2022) - Yuping Lai, Wenbo Guan, Lijuan Luo, Qiang Ruan, Yuan Ping, Heping Song, Hongying Meng, Yu Pan:
Extended variational inference for Dirichlet process mixture of Beta-Liouville distributions for proportional data modeling. Int. J. Intell. Syst. 37(7): 4277-4306 (2022) - Marta Catalano, Pierpaolo De Blasi, Antonio Lijoi, Igor Prünster:
Posterior Asymptotics for Boosted Hierarchical Dirichlet Process Mixtures. J. Mach. Learn. Res. 23: 80:1-80:23 (2022) - Zhanyu Ma, Yuping Lai, Jiyang Xie, Deyu Meng, W. Bastiaan Kleijn, Jun Guo, Jingyi Yu:
Dirichlet Process Mixture of Generalized Inverted Dirichlet Distributions for Positive Vector Data With Extended Variational Inference. IEEE Trans. Neural Networks Learn. Syst. 33(11): 6089-6102 (2022) - Or Dinari, Oren Freifeld:
Sampling in Dirichlet Process Mixture Models for Clustering Streaming Data. AISTATS 2022: 818-835 - Vlad Winter, Or Dinari, Oren Freifeld:
Common Failure Modes of Subcluster-based Sampling in Dirichlet Process Gaussian Mixture Models - and a Deep-learning Solution. AISTATS 2022: 1432-1456 - Navin Cooray, Zhenglin Li, Jinzhuo Wang, Christine Lo, Mahnaz Arvaneh, Mkael Symmonds, Michele T. M. Hu, Maarten De Vos, Lyudmila S. Mihaylova:
Automated Movement Detection with Dirichlet Process Mixture Models and Electromyography. FUSION 2022: 1-8 - Ioar Casado, Aritz Pérez:
Dirichlet process mixture models for non-stationary data streams. ICDM 2022: 873-878 - Weidong Liu, Quanping Zhang, Wenbo Qiao:
Dirichlet Mixture Model of Hawkes Processes Based Patent User Role Discovery Model. IJCNN 2022: 1-8 - Yijun Zhao, Tanuja Chitnis:
Dirichlet Mixture of Gaussian Processes with Split-kernel: An Application to Predicting Disease Course in Multiple Sclerosis Patients. IJCNN 2022: 1-8 - Naiqi Li, Wenjie Li, Yong Jiang, Shu-Tao Xia:
Deep Dirichlet process mixture models. UAI 2022: 1138-1147 - Or Dinari, Oren Freifeld:
Sampling in Dirichlet Process Mixture Models for Clustering Streaming Data. CoRR abs/2202.13312 (2022) - Kiran Mantripragada, Faisal Z. Qureshi:
Evaluation of Dirichlet Process Gaussian Mixtures for Segmentation on Noisy Hyperspectral Images. CoRR abs/2203.02820 (2022) - Vlad Winter, Or Dinari, Oren Freifeld:
Common Failure Modes of Subcluster-based Sampling in Dirichlet Process Gaussian Mixture Models - and a Deep-learning Solution. CoRR abs/2203.13661 (2022) - Or Dinari, Raz Zamir, John W. Fisher III, Oren Freifeld:
CPU- and GPU-based Distributed Sampling in Dirichlet Process Mixtures for Large-scale Analysis. CoRR abs/2204.08988 (2022)
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